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Showing 1 to 20 of 22 for “"causality analysis"”.
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Causality analysis advancements and applications by subspace-based techniques.
Causality analysis remains a fundamental research question and the ultimate objective for many scientific studies. Alongside the increasing speed of data science and technological advancements, as well as the overwhelming existence of complex systems in social science and economics studies, …
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Fundamental problems in Granger causality analysis of neuroscience data
Granger causality methods analyze the flow of information between time series. The Geweke measure of Granger causality (GG-causality) has been widely applied in neuroscience because its frequency-domain and conditional forms appear well-suited to highly-multivariate oscillatory data. In this work, …
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Foreign Direct Investment, Economic Growth and Employment creation: A Causality Analysis from Namibia
… Also, a vector autoregression model short-run causality among the variables was examined. In the end, Impulse response functions are estimated. The research found both a short term and long-term causality going from FDI inflow to employment. Impulse responses show that both GDP and employment …
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Determinants of GDP: A VECM Forecasting and Granger Causality Analysis for Eight European Countries
… of I(1) cointegrated variables, the analysis is performed within a VECM framework, that models each country individually as a closed economy, and then as an open economy. The estimated variables are then used to provide out-of-sample short horizon forecasts of GDP, which are compared …
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Foreign direct investment and economic growth in South Africa: a sector level causality analysis
… unreliability relating the traditional Granger causality technique. The report shows that FDI Granger-causes growth in primary, secondary, tertiary sectors and at an aggregate level. In addition, growth was found to Granger-cause FDI at tertiary and aggregate level. On the other hand growth does …
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Detection and analysis of the causal relation between tourism and greenhouse gas emission: an empirical approach.
… European Union countries. To perform time series causality analysis a combination of the established Granger causality test, and the novel Convergent Cross mapping (CCM) has been used. Convergent Cross mapping (CCM) has not previously been used for this application in tourism research and it …
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Applications of Granger Causality to Magnetoencephalography Research, Short Trial Time Series Analysis, and the Study of Decision Making
Causality analysis is an approach to time series analysis that is being used increasingly to investigate neuroimaging data. The reason for its popularity is the useful perspective it provides in describing the ordered operations of various brain regions using indirectly and passively measured …
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Analyzing Causality between Actual Stock Prices and User-weighted Sentiment in Social Media for Stock Market Prediction
In this thesis, an improved sentiment analysis algorithm is proposed which reflects the impact of user, and to analyze whether public sentiment calculated by the proposed algorithm can contribute to stock prediction. The proposed sentiment analysis algorithm reflects the factors of Twitter which …
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The effect of economic growth volatility on income and wealth inequality in South Africa
… variance decomposition, and block Granger causality analysis over the period 1975-2018 to identify the effect of economic growth volatility on income inequality and wealth inequality in South Africa, and to determine whether this effect is more significant for income inequality or wealth …
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Studying How Cryptocurrency Development Characteristics in GitHub Affect Its Market Price and Developer Sentiment in Stack Overflow Discussions
… Our results demonstrate 1) using Granger causality analysis, we find no convincing evidence of "predictive" relationship between software development metrics and market price except for Ethereum; 2) developers express positive sentiment in SO discussions; 3) the extracted keywords from SO …
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A framework for testing cyber-physical systems : input generation and causal analysis
… a framework for (conformance) testing and (causality) analysis of cyber-physical systems. The framework is divided into two stages, i) a search-based testing approach that generates effective inputs for finding faults in CPSs and ii) a notion of causality that assigns causes for the events …
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Government expenditure on education and economic growth in South Africa
… distributive lag technique and Granger causality analysis. The findings revealed that government spending on education and economic growth are positively related in South Africa. Furthermore, the findings revealed that government expenditure on education granger causes economic growth, …
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An Investigation into the Relationship Between Economic Growth, Energy Consumption, and the Environment: Evidence from Nigeria
… Distributed Lag model (ARDL), Toda-Yamamoto causality analysis, and ordinary least square (OLS for robust estimation) techniques to empirically investigate the impact of economic growth and energy consumption on the environment in Nigeria from 1980 to 2020. The results of cointegration …
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Investigating neuronal network dynamics : scale-invariance, preferred firing rates, and plasticity via phase-shift encoding
… based on Hebbian learning rules with Granger causality analysis was used to evaluate pre-synaptic and post-synaptic relationships. Distinct firing patterns emerged from the baseline and Poisson stimulations via Fourier transform analysis, suggesting stable, scale-invariant temporal structures. …
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Data-driven resiliency assessment of medical cyber-physical systems
… patients. We present a framework for automated analysis of structured and unstructured data from public FDA databases on medical device recalls and adverse events. This framework allows characterization of the safety issues originated from computer failures in terms of fault classes, failure …
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Quantification of neural substrates of vergence system via fMRI
… for vergence tasks via utilization of Granger-Causality Analysis. When prediction was involved the increase in the number of causal interactions was statistically significant (p< 0.05). The comparison of the number of influences between prediction-evoked vergence task and simple tracking …
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Estimating the relationship between GDP growth and Government expenditure in Libya: an analysis of Wagner’s Law
… GDP. Engle and Granger's two-step cointegration analysis has been used to test the long-run relationship between government expenditure and total real GDP for Libya, whereas the short-run relationship is estimated using the error correction model (ECM). The causation between government …
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The Baroreflex And Neurogenic Control Of Cerebral Autoregulation In Cerebral Blood Flow
… using correlation techniques and Granger causality analysis. In the second set of experiments, subjects underwent a virtual reality simulation of HUT (VHUT) without gravitational change. Physiological variables were measured as before and responses during HUT and VHUT were compared. …
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Impact of Meteorological Conditions and Maturity of Perithecia on the Release of Fusarium graminearum Ascospores
The global food supply is being stressed by climate change, a growing population, and harmful diseases. One risk to vital cereal crops such as wheat and barley is Fusarium head blight (FHB), caused by the fungal plant pathogen Fusarium graminearum. Ascospores of the fungus are released from …
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